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Predictive models for physical and mechanical properties of 316L stainless steel produced by selective laser melting

2016-03Journal article Restricted access
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datacite.subject.sdg03:Saúde de Qualidade
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
datacite.subject.sdg12:Produção e Consumo Sustentáveis
dc.contributor.authorMiranda, G.
dc.contributor.authorFaria, S.
dc.contributor.authorBartolomeu, F.
dc.contributor.authorPinto, Elodie
dc.contributor.authorMadeira, S.
dc.contributor.authorMateus, Artur
dc.contributor.authorP.Carreira
dc.contributor.authorAlves, Nuno
dc.contributor.authorSilva, F.S.
dc.contributor.authorCarvalho, O.
dc.date.accessioned2025-06-18T13:32:13Z
dc.date.available2025-06-18T13:32:13Z
dc.date.issued2016-03
dc.description.abstractSelective Laser Melting (SLM) processing parameters are known to greatly influence 316L stainless steel final properties. A simple energy density calculation is insufficient for explaining mechanical and physical properties as well as microstructural characteristics, which are known to significantly influence these parts performance. In fact, parts produced by using different combinations of processing parameters, even presenting similar energy density, can display different properties. Thus, it is necessary to assess their influence as isolated parameters but also their interactions. This work presents a study on the influence of several SLM processing parameters (laser power, scanning speed and scanning spacing) on density, hardness and shear strength of 316L stainless steel. The influence of these processing parameters on the abovementioned properties is assessed by using statistical analysis. In order to find the significant main factors and their interactions, analysis of variance (ANOVA) is used. Furthermore, in order to assess the effect of the part building orientation, two different building strategies were tested. The influence of these processing parameters on shear strength, hardness and density were assessed for the two building strategies, thus resulting six different models that can be used as predictive design tools. The microstructures experimentally obtained were analyzed, discussed and correlated with the obtained models.eng
dc.description.sponsorshipThis work was supported by FCT (Fundação para a Ciência e a Tecnologia) through the projects EXCL/EMS-TEC/0460/2012, UID/EEA/04436/2013 and the grant SFRH/BPD/112111/2015.
dc.identifier.citationG. Miranda, S. Faria, F. Bartolomeu, E. Pinto, S. Madeira, A. Mateus, P. Carreira, N. Alves, F.S. Silva, O. Carvalho, Predictive models for physical and mechanical properties of 316L stainless steel produced by selective laser melting, Materials Science and Engineering: A, Volume 657, 2016, Pages 43-56, ISSN 0921-5093, https://doi.org/10.1016/j.msea.2016.01.028
dc.identifier.doi10.1016/j.msea.2016.01.028
dc.identifier.issn0921-5093
dc.identifier.urihttp://hdl.handle.net/10400.8/13329
dc.language.isoeng
dc.peerreviewedyes
dc.publisherElsevier BV
dc.relationMicroelectromechanical Systems Research Unit
dc.relationDevelopment of Multi-Functional Structures by Multi-Material Selective Laser Melting/Sintering
dc.relation.hasversionhttps://www.sciencedirect.com/science/article/pii/S0921509316300272
dc.relation.ispartofMaterials Science and Engineering: A
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectSelective laser melting
dc.subject316L stainless steel
dc.subjectPredictive models
dc.subjectDensity
dc.subjectMechanical properties
dc.titlePredictive models for physical and mechanical properties of 316L stainless steel produced by selective laser meltingeng
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleMicroelectromechanical Systems Research Unit
oaire.awardTitleDevelopment of Multi-Functional Structures by Multi-Material Selective Laser Melting/Sintering
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FEEA%2F04436%2F2013/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//SFRH%2FBPD%2F112111%2F2015/PT
oaire.citation.endPage56
oaire.citation.startPage43
oaire.citation.titleMaterials Science and Engineering: A
oaire.citation.volume657
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNamePinto
person.familyNameMateus
person.familyNameJosé da Silva Carreira
person.familyNameAlves
person.givenNameElodie
person.givenNameArtur
person.givenNamePedro
person.givenNameNuno
person.identifier452149
person.identifier.ciencia-id0E1A-9A57-E79A
person.identifier.ciencia-idA211-6A27-5B05
person.identifier.ciencia-id311E-1559-8F6C
person.identifier.orcid0000-0002-6650-985X
person.identifier.orcid0000-0003-2483-9153
person.identifier.orcid0000-0002-4698-3650
person.identifier.orcid0000-0002-5016-0868
person.identifier.ridH-3387-2018
person.identifier.ridN-4073-2013
person.identifier.scopus-author-id14028690000
person.identifier.scopus-author-id55749707600
person.identifier.scopus-author-id7006403383
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
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